How to get data and url from anchor tag using beutifull soup library

Write a python program to scrape mentioned news details from https://www.cnbc.com/world/?region=world and
make data frame
i) Headline
ii) Time
iii) News Link

How to get all text data of anchor tag of specific class
How to get all url of anchor tag of specific class
How to count all element of list
step 1 first install libraries

pip install bs4
pip install request

step 2 import libraries

from bs4 import BeautifulSoup
import requests

step3:Send an HTTP GET request to the URL and (status code 200)

page  = requests.get('https://www.cnbc.com/world/?region=world')
page

output

<Response [200]>

step4: check page content

soup= BeautifulSoup(page.content)
soup

output

step5: get data of particular class of time tag

data = soup.find_all('time', class_="LatestNews-timestamp")
data

Output

step6: get all data of time and store in list

hour=[]
for tag in data:  
    hour.append(tag.text.strip())
hour

Output

step7: get all data of anchor tag of specific class

heads = soup.find_all('a', class_="LatestNews-headline")
heads

Output

step8: get all data of anchor tag and store in list
How to get all text data of anchor tag of specific class

latest_news=[]
for tag in heads:  
    latest_news.append(tag.text.strip())
latest_news

output

step9: to check total n0 of element in list
How to count all element of list

count_hour = len(hour)
count_hour

Output
30

step10: get all url of anchor tag and store in list
How to get all url of anchor tag of specific class

url_list = []
# Loop through the anchor tags and extract the 'href' attribute
for anchor in heads:
    url = anchor.get('href')
    url_list.append(url)
url_list

step11: convert all data into dataframe

import pandas as pd
df= pd.DataFrame({'headline':latest_news,'time':hour,'url':url_list})
df

output